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  • Case Study: Fast Food Chain Saves 27% on energy consumption
  • The Agile IoT Manifesto

Monitors refrigeration, A/C, lighting and human resources to reduce energy consumption

 THE PROBLEM:

The owner of a large fast food chain needed to significantly reduce energy consumption in all of his stores. The cost of energy was booming and therefore impacting his bottom line.

What steps did they take to overcome these challenges?

PHASE I:

They monitored two specific branches in order to confirm that the the IoT project they went with, had a positive ROI. Energy sensors were installed on A/Cs, refrigerators and lighting. After running  for one month, the branches displayed very different energy consumption patterns. Researching this further, they discovered that that the refrigeration equipment in one of the branches was faulty and the compressors were overworked.

Fixing the faulty equipment and performing period and proactive maintenance on the remaining equipment resulted in significant energy savings, all leading to to a green light for the project.

PHASE II:

In this phase, the electricity monitoring was installed in all branches and locations.

The customer decided to install door sensors in the refrigerators, which sends an alert if the door wasn’t fully closed after a set time interval. Often times employees push the door close without the door actually sealing, and so the refrigerator needs to work harder to keep food cool. Leaving the door open overnight often results in food wastage.

In addition, the application was set to deliver alerts if lights and A/Cs were left on after hours. These were delivered to the appropriate manager and also customized for each of the branch’s opening hours (as well as by timezone). In this way, the lights and A/Cs could be turned off remotely by employees with access.

PHASE III:

After handling the expense side so well with IoT, the owner of the chain turned to a customer facing application.

The goal of phase III was to develop a guest comfort score. Sensors were installed to monitor noise, smell, air quality and restaurant temperature. Data from each sensor were given a score and all scores were tallied up to create a guest comfort score that could be proactively monitored across locations. Alerts were sent out if guest comfort scores dropped below an acceptable level.

PHASE IV:

The system integrator is currently working on a project extension that can improve guest satisfaction. They are researching technology to track the time it takes guests to get their meal from the moment they enter the restaurant.

HOW THE FOOD CHAIN BENEFITED:

  • Started small
    Taking the gradual approach showed immediate benefits and got the customer buy-in. Gradual expansion was possible because of Axonize’s ability to connect to any sensor/device.
  • Scaled fast
    Configuring an IoT project doesn’t require DevOps or engineers to be involved. Each phase took  mere days to develop on this  platform.
  • Unified app/platform
    Building, restaurant equipment and customer improvement efforts were all developed on the same platform, and managers could access output on the same app
  • Turned positive ROI quickly
    Due to low investment in DevOps and quick development time, the initiatives showed a positive ROI very quickly

Axonize’s disruptive architecture was purposely designed to enable deployment of complete and fully customized solutions across all applications and device types in mere days. Schedule your demo today.